因果科学及其工业界落地.pdf

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1、因果科学及其工业界落地DataFunSummitDataFunSummit#20232023秦旋-快手-增长算法工程师ContentsWhy CausalData Flow Specification for Causal Inference ImplementationModel SelectionEvaluation and simulationOptimal Problems with Limited ResourcesWHY CAUSAL?What is correlation?WHY CAUSAL?What is correlation?An example:WHY CAUSAL?W

2、hat is correlation?An example:there is a statistical association between the number of people who drowned by falling into a pool and the number of films Nicolas Cage appeared in in a given year.However,there is obviously no causal relationship.WHY CAUSAL?What is correlation?Another example:We observ

3、ed students who wear glasses have better gradesWHY CAUSAL?What is correlation?Another example:We observed students who wear glasses have better gradesWHY CAUSAL?What is correlation?Another example:We observed students who wear glasses have better gradesWHY CAUSAL?What is correlation?Another example:

4、We observed students who wear glasses have better gradesRisk FactorComponent CausesEffectOutcomeWearingGlassesSpent more time for studyBetter preparationBetter gradesWHY CAUSAL?Issues while applying Correlation Methods in finding causal effect WHY CAUSAL?Issues while applying Correlation Methods in

5、finding causal effect WhereW:Study DurationX:If Wear GlassesY:GradeWHY CAUSAL?Issues while applying Correlation Methods in finding causal effect WhereW:Study DurationX:If Wear GlassesY:GradeWHY CAUSAL?Issues while applying Correlation Methods in finding causal effect WhereW:Study DurationX:If Wear G

6、lassesY:Grade _1WHY CAUSAL?How Causal tools help us?WHY CAUSAL?How Causal tools help us?WHY CAUSAL?How Causal tools help us?WHY CAUSAL?How Causal tools help us?WHY CAUSAL?How Causal tools help us?Back to glasses case:=0WHY CAUSAL?How Causal tools help us?WHY CAUSAL?Data Flow for implementation of Ca